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Octavian Geagla commented on SPARK-5726: ---------------------------------------- I like the name ElementwiseProduct also, it seems easier to understand. The PR above does not have the name changed, but I'd like to change it if there are no objections. > Hadamard Vector Product Transformer > ----------------------------------- > > Key: SPARK-5726 > URL: https://issues.apache.org/jira/browse/SPARK-5726 > Project: Spark > Issue Type: Improvement > Components: ML, MLlib > Reporter: Octavian Geagla > Assignee: Octavian Geagla > > I originally posted my idea here: > http://apache-spark-developers-list.1001551.n3.nabble.com/Any-interest-in-weighting-VectorTransformer-which-does-component-wise-scaling-td10265.html > A draft of this feature is implemented, documented, and tested already. Code > is on a branch on my fork here: > https://github.com/ogeagla/spark/compare/spark-mllib-weighting > I'm curious if there is any interest in this feature, in which case I'd > appreciate some feedback. One thing that might be useful is an example/test > case using the transformer within the ML pipeline, since there are not any > examples which use Vectors. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org